Job Oriented Training cum Internship (1 year Programme)
Techvolt Software Pvt. Ltd. hires and provides Job Oriented Training cum Internship on Data Analytics (Data Science with Machine Learning) for Engineering/Non-Engineering candidates to start the career in IT industry.
Who can join Job oriented Training
Fresh graduates looking for an opportunities in IT
IT Professionals looking for enhancing their skills
Non-IT Professionals looking to shift to IT industry
People who have career gaps and backlogs
People who got trained and looking for an experience
Benefits of Data Science
Data Science is in Great Demand
A Highly Paid Career
Multiple Job Opportunities in Industries
Data Science is accessible to all sectors
It provides Deep Analysis of Large Data
Skills Required : C, C++ with Good Communication Eligibility : BE | BTech | MCA | MSc | BSc | BCA -2021/2022/2023/2024/2025 Passed Outs.
DATA SCIENCE WITH MACHINE LEARNING
Data Science
Data science is the field of study that combines Domain expertise, programming skills and knowledge of statistics and mathematics to extract meaningful insights from data. Data science practitioners apply Machine Learning algorithms to numbers, text, images, videos, audio and more to produce Artificial intelligence systems to perform tasks that ordinarily require human intelligence.
Machine Learning
Machine Learning is a subset of Artificial Intelligence which makes a machine learn without being explicitly programmed. Data is the key for Machine Learning, without a data machine will not be able to get trained in order to predict future. Today Machine Learning is so prominent because of three main factors - Availability of Data, Computational Power and Development in Statistical Methods
Current Trend !
Why Job oriented Training
Fresh graduates looking for an opportunities in IT
IT Professionals looking for enhancing their skills
Non-IT Professionals looking to shift to IT industry
People who have career gaps and backlogs
People who got trained and looking for an experience
Benefits of Job Oriented Training
Training Period ( 6 Months )
Technical Training ( Daily 4 to 5 hours )
Real Time Projects
Technical & Internship Experience Certificates
Stipend of Rs.8k p.m(7th Month onwards)
Placement for Best Performers after 1 year
Note: Training fees will be Applicable.
Syllabus
Programming for Data Science
Unit-1 : Starting Python & Basics of Python Language
What is Python? Why Python for Data Science
Programming Model of Python. Python Installation, Simple I/O, Work with Numbers
Basic Data types, Variables, Data types, Control Structures, if Conditions, While Loop
for Loop, break and continue, Arithmetic & Logical operators
Unit-2 : Python Core Data Structures
Strings, Lists, Tuples, Dictionaries, Sets, List Comprehensions
Lambda Functions - Maps, Filter, Reduce
Unit-3 : Functions, Modules and Object Oriented Programming
Introduction to Functions, Function Syntax, Introduction to Modules, Create Modules
Importing Modules, Introduction to Object oriented concepts
Unit-5 : Introduction to Pandas, Operations in Pandas - Part I
Series creation, Operations on Series, DataFrames creation, Operations on Data frames
Basic Indexing using.loc, iloc, .ix, Multi Indexing, Boolean Indexing
Unit-6 : Operations in Pandas - Part II
Grouping of data, Merging and joining data, pivots and reshaping data
Data Analysis and Visualisation
Unit-1 : Exploratory Data Analysis
What is Exploratory Data Analysis?
Unit-2 : Data cleansing and transformation
Why Data cleansing is important?
Treating missing values
Data Normalization
Unit-3 : Data Virtualization
Types of plot - such as Scatter plot, Pie chart, Histogram, Boxplot
Machine Learning
Unit-1 : Introduction to Machine Learning and Data Science
Introduction to Machine Learning
Broad classification – Supervised vs Un-supervised Learning
Overview of Regression
Use cases of Machine Learning
Unit-2 : Classification
Classification using Decision Trees, Random Forests, Ada Boost
Classification using Nearest Neighbors
Classification using Naïve Bayes
Classification using Logistic Regression
Classification using Support Vector Machines
Goodness measures such as confusion matrix
Ensemble Techniques (Bagging, Boosting)
Unit-3 : Validation Measures
ROC and AUC Curves comparison of distribution function/business measures
Unit-4 : Clustering
Introduction to Clustering
K-means, Hierarchical Clustering
Practical Issues in clustering
Validation
Applications discussed with case studies
Natural Language Processing
Unit-1 : Introduction to Unstructured Data Analysis
Introduction to unstructured data
Differences in structured and unstructured data
Challenges posed due to lack of structure
Unstructured data encountered in various applications such as text, speech, multimedia (rich), web and social media data
Feature Extraction : text features, speech features, multimedia features, features in web and social media
• Document Term Matrix, Term Frequency, Inverse Term Frequency
• Count Vectorizer, TFIDF Vectorizer
• Text Classification Techniques using Vectorizers
Using Baye’s algorithm for text Classification
Feedback
Aditya Varadhan BTech
Techvolt Software Pvt. Ltd. helped me to understand what Information Technology is expecting from an undergraduate. They guided me on every technical Aspect possible. They assist in the all-round development of undergraduate students. I am really glad to be in Techvolt as a family member.
IIIT, Kottayam
Sudarshan Paul BTech
It was really a good experience to learn ML algorithms from the perspective of mathematical intuition as well as hands on. I really enjoyed learning throughout the interactive sessions. Entire internship was a valuable growth experience and I developed better understanding of concepts as well as their implementations.
BTech CSE
Kannamma Lakshmi Narayanan BTech
The Machine learning training provided has been really helpful not only understanding the algorithms practically but also the math behind these concepts were well explained and it brought a new interest to develop further knowledge.
NIT, Puducherry
Meghana BTech
It was a great experience learning all nooks and corner in the Machine Learning domain so well right from the basics till the essential algorithms with all in-depth mathematical intuitions. I had a great exposure in handling the datasets and relating it with the real time examples.
SASTRA, Thanjavur
Bobby Prathikshana MSc
It was a great experience in training. Instructor readily clarified all our doubts and made all concepts covered in Machine Learning so clear. Thank you Techvolt Software for sharing knowledge and taking so much efforts in making us understand ML better.
CIT, Coimbatore
Harsh Singh BTech
I thank Techvolt Software for the wonderful experience. Instructor helped us to master ML and took care in every part of learning. They helped us to build our confidence and made sure that we aren't lacking in any topic. I would like to rate 10 out of 10 for the training provided to us.
